Overflow Intelligent Early Warning System Based on BP Neural Networks
DOI:
https://doi.org/10.54097/ajst.v7i2.12253Keywords:
Overflow warning, Integrated logger, BP neural network.Abstract
Overflow is one of the most serious drilling accidents that affect the safety of drilling construction. The analysis of integrated logging parameters and the judgement of overflow situation in China still remain in the stage of "manual judgement" and "threshold warning". Based on this, we propose the method of combining the real time measurement information of comprehensive logging instrument with artificial intelligence technology, and design a BP neural network based intelligent early warning software system using SQL Server 2008 database management platform and C# program development language. Through the experimental test, the system runs well, the timeliness of overflow early warning is good, the accuracy of early warning results is high, and it can meet the needs of field application, and it can provide effective technical support for the field overflow early warning, and it has a better prospect of field application.
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References
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